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41. 发明授权

US10026050B2 Association-based product design 有权
公开(公告)号：US10026050B2
公开(公告)日：2018-07-17
申请号：US14747198
申请日：2015-06-23
申请人： International Business Machines Corporation
发明人： Lav R. Varshney , Kush R. Varshney , Jun Wang
IPC分类号： G06Q10/00 , G06Q10/06 , A61L2/16 , A23L3/3409 , G06Q10/10 , G06Q50/12 , G06F17/50 , G06F19/00 , G06F17/30 , B01F15/00 , G01N30/88 , G06F17/11 , G06F17/16 , G09B19/00 , G01N30/02
摘要： A method for designing a new product includes automatically identifying a plurality of components of stored products, wherein the plurality of components is associated with an existing component included in a design of the new product, automatically selecting a new component from among the plurality of components, wherein a relationship between the existing component and the new component optimizes a design objective for the new product, automatically adding the new component to the design for the new product, and iteratively repeating the identifying, the selecting, and the adding until a stopping criterion is met, wherein the design for the new product is complete when the stopping criterion is met.

42. 发明申请

US20180121823A1 Method, System and Computer Program Product for Automating Expertise Management Using Social and Enterprise Data 审中-公开
公开(公告)号：US20180121823A1
公开(公告)日：2018-05-03
申请号：US15855366
申请日：2017-12-27
申请人： International Business Machines Corporation
发明人： John H. Bauer , Dongping Fang , Aleksandra Mojsilovic , Karthikeyan N. Ramamurthy , Kush R. Varshney , Jun Wang
IPC分类号： G06N7/00 , G06Q10/10 , G06F17/30 , G06N5/02 , G06Q10/06
CPC分类号： G06N7/005 , G06F16/285 , G06F16/9024 , G06N5/02 , G06Q10/06 , G06Q10/105
摘要： A method includes performing contextual association of entities using multi-source data. For each context the method performs co-clustering to identify distinct expert-skill associations; constructing single-entity unipartite graph representations and performing a random walk within each single-entity unipartite graph; for each single-entity unipartite graph, obtaining steady state distributions using the random walks to obtain clusters of experts and skills; performing a weighted two-way random walk across entity graphs (graph edges), giving preference to traversal within members of the same co-cluster; and performing link prediction for each context by dynamically adding edges, and obtaining overall skills predictions, analyses and inferences by merging the contexts and weighting the links of each context. The method can also use the context-specific weights obtained from the co-association information in a matrix completion procedure, and finally merge the context-specific outputs to obtain overall skills predictions, analyses and inferences. A computer program product and a system are also disclosed for performing the method.

43. 发明授权

US09930070B2 Modifying security policies of related resources 有权
公开(公告)号：US09930070B2
公开(公告)日：2018-03-27
申请号：US14938218
申请日：2015-11-11
申请人： International Business Machines Corporation
发明人： Hao Feng , Shuo Li , Shengyan Sun , Jun Wang
IPC分类号： H04L29/06
CPC分类号： H04L63/20 , H04L63/1408 , H04L63/1425
摘要： A method for a managing security in a networked computing environment. The method included a processor detecting an unauthorized activity that is targeting a first computing resource. The method further includes a processor determining a first group of computing resources that includes the first computing resource. The method further includes a processor determining a first threat level for the detected unauthorized activity. The method further includes a processor identifying a first security policy of a plurality of security policies of a networked computing environment based at least in part on the determined first group of computing resources and the determined first threat level for the detected unauthorized activity.

44. 发明申请

US20170242854A1 DATASET SAMPLING THAT IS INDEPENDENT OF RECORD ORDER 审中-公开
公开(公告)号：US20170242854A1
公开(公告)日：2017-08-24
申请号：US15051086
申请日：2016-02-23
申请人： International Business Machines Corporation
发明人： Dong Liang , Bo Song , Jun Wang , Jing Xu , Ji Hui Yang
IPC分类号： G06F17/30
CPC分类号： G06F16/254 , G06F16/2465
摘要： A first data record and a second data record are received, wherein the first data record is one of a number of data records of a first dataset and the second data record is one of a number of data records of a second dataset. A first random seed for the first data record and a second random seed for the second data record are generated, wherein both random seeds are equal responsive to determining that the first data record and the second data record represent the same data. A first sampling parameter for the first data record and a second sampling parameter for the second data record using a random number generator are generated. The first data record and the second data record are selected for a first sample dataset and second sample dataset, respectively, based on the generated sampling parameters.

45. 发明授权

US09639598B2 Large-scale data clustering with dynamic social context 有权
公开(公告)号：US09639598B2
公开(公告)日：2017-05-02
申请号：US14448271
申请日：2014-07-31
申请人： International Business Machines Corporation
发明人： Jun Wang , Jinfeng Yi
IPC分类号： G06F17/30 , G06F7/00 , G06F17/10 , G06K9/00 , G06Q50/00 , G06K9/62 , G06Q30/02
CPC分类号： G06F17/30598 , G06F17/10 , G06K9/00 , G06K9/622 , G06Q30/0282 , G06Q50/00 , G06Q50/01
摘要： A system and method for dynamic, semi-supervised clustering comprises receiving data attributes, generating a set of ensemble partitions using the data attributes, forming a convex hull using the set of ensemble partitions, generating a simplex vector by performing ensemble clustering on the convex hull, receiving dynamic links, deriving an optimal simplex vector using the simplex vector and the dynamic links, computing a current optimal clustering result using the optimal simplex vector, and outputting the current optimal clustering result.

46. 发明授权

US09406021B2 Predictive and descriptive analysis on relations graphs with heterogeneous entities 有权
标题翻译：与异构实体关系图的预测和描述性分析
公开(公告)号：US09406021B2
公开(公告)日：2016-08-02
申请号：US14026607
申请日：2013-09-13
申请人： International Business Machines Corporation
发明人： Aleksandra Mojsilovic , Kush R. Varshney , Jun Wang
IPC分类号： G06N5/02 , G06Q10/00 , G06N7/00 , G06N5/04
CPC分类号： G06N5/02 , G06N5/04 , G06N7/005 , G06Q10/00
摘要： A method provides a random walk model with heterogeneous graphs to leverage multiple source data and accomplish prediction tasks. The system and method components include: 1) A heterogeneous graph formulation including heterogeneous instances of abstract objects as graph nodes and multiple relations as edges connecting those nodes. The different types of relations, such as client-vendor relation and client-product relation, are often quantified as the weights of edges connecting those entities; 2) To accomplish prediction tasks with such information, launching a multi-stage random walk model over the heterogeneous graph. The random walk within a subgraph with homogenous nodes usually produces the relevance between entities of the same type. The random walk across different type of nodes provides the prediction of decisions, such as a client purchasing a product.
摘要翻译：一种方法提供具有异构图的随机游走模型，以利用多个源数据并完成预测任务。系统和方法组件包括：1）异构图形公式，包括作为图形节点的抽象对象的异构实例，以及连接这些节点的边缘的多个关系。不同类型的关系，例如客户 - 供应商关系和客户 - 产品关系，通常被量化为连接这些实体的边的权重; 2）通过这种信息完成预测任务，在异构图上启动多阶段随机游走模型。具有同质节点的子图中的随机游走通常产生相同类型的实体之间的相关性。通过不同类型的节点的随机游走提供了诸如客户购买产品的决策的预测。

47. 发明授权

US09305039B2 Indexing of large scale patient set 有权
标题翻译：大型病人组索引
公开(公告)号：US09305039B2
公开(公告)日：2016-04-05
申请号：US13967062
申请日：2013-08-14
申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION
发明人： Fei Wang , Jun Wang
IPC分类号： G06F17/30 , G06F19/00
CPC分类号： G06F17/30598 , G06F17/30091 , G06F17/30321 , G06F17/30327 , G06F17/30584 , G06F17/30613 , G06F17/30619 , G06F19/00 , G16H10/60 , G16H50/70
摘要： Systems and methods for indexing data include formulating an objective function to index a dataset, a portion of the dataset including supervision information. A data property component of the objective function is determined, which utilizes a property of the dataset to group data of the dataset. A supervised component of the objective function is determined, which utilizes the supervision information to group data of the dataset. The objective function is optimized using a processor based upon the data property component and the supervised component to partition anode into a plurality of child nodes.
摘要翻译：索引数据的系统和方法包括制定索引数据集的目标函数，数据集的一部分包括监督信息。确定目标函数的数据属性组件，它利用数据集的属性对数据集的数据进行分组。确定目标函数的监督分量，利用监督信息对数据集的数据进行分组。使用基于数据属性组件和监督组件的处理器对目标函数进行优化，以将阳极分成多个子节点。

48. 发明授权

US09026539B2 Ranking supervised hashing 有权
公开(公告)号：US09026539B2
公开(公告)日：2015-05-05
申请号：US13644747
申请日：2012-10-04
申请人： International Business Machines Corporation
发明人： Xu Sun , Jun Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/3069 , G06F17/30 , G06F17/30949
摘要： Aspects of the present invention provide a tool for hash-based indexing. In an embodiment, a ranked dataset having a plurality of data items is obtained. Every data item in the ranked dataset has a ranking with respect to every other data item in the ranked dataset. A ranking triplet matrix is created based on the ranked dataset. The ranking triplet matrix has a set of ranking triplets, each of which indicates the relative ranking for a pair of the data items in the ranked dataset. This ranking triplet can be merged with a hash table obtained using a standard hash function and the data items can be indexed based on the results.

49. 发明授权

US09020954B2 Ranking supervised hashing 有权
标题翻译：排名监督散列
公开(公告)号：US09020954B2
公开(公告)日：2015-04-28
申请号：US13630138
申请日：2012-09-28
申请人： International Business Machines Corporation
发明人： Xu Sun , Jun Wang
IPC分类号： G06F17/00 , G06F17/30
CPC分类号： G06F17/3069 , G06F17/30 , G06F17/30949
摘要： Aspects of the present invention provide a tool for hash-based indexing. In an embodiment, a ranked dataset having a plurality of data items is obtained. Every data item in the ranked dataset has a ranking with respect to every other data item in the ranked dataset. A ranking triplet matrix is created based on the ranked dataset. The ranking triplet matrix has a set of ranking triplets, each of which indicates the relative ranking for a pair of the data items in the ranked dataset. This ranking triplet can be merged with a hash table obtained using a standard hash function and the data items can be indexed based on the results.
摘要翻译：本发明的方面提供了一种用于基于散列的索引的工具。在一个实施例中，获得具有多个数据项的排序数据集。排名数据集中的每个数据项对于排名数据集中的每个其他数据项具有排名。基于排名的数据集创建排名三重矩阵。排名三元组矩阵具有一组排名三元组，每一个表示排名数据集中一对数据项的相对排名。该排序三元组可以与使用标准散列函数获得的散列表合并，并且可以基于结果对数据项进行索引。

50. 发明申请

US20140317038A1 PREDICTIVE AND DESCRIPTIVE ANALYSIS ON RELATIONS GRAPHS WITH HETEROGENEOUS ENTITIES 有权
标题翻译：与异构实体的关系图的预测和描述性分析
公开(公告)号：US20140317038A1
公开(公告)日：2014-10-23
申请号：US14026607
申请日：2013-09-13
申请人： International Business Machines Corporation
发明人： Aleksandra Mojsilovic , Kush R. Varshney , Jun Wang
IPC分类号： G06N5/02
CPC分类号： G06N5/02 , G06N5/04 , G06N7/005 , G06Q10/00
摘要： A method provides a random walk model with heterogeneous graphs to leverage multiple source data and accomplish prediction tasks. The system and method components include: 1) A heterogeneous graph formulation including heterogeneous instances of abstract objects as graph nodes and multiple relations as edges connecting those nodes. The different types of relations, such as client-vendor relation and client-product relation, are often quantified as the weights of edges connecting those entities; 2) To accomplish prediction tasks with such information, launching a multi-stage random walk model over the heterogeneous graph. The random walk within a subgraph with homogenous nodes usually produces the relevance between entities of the same type. The random walk across different type of nodes provides the prediction of decisions, such as a client purchasing a product.
摘要翻译：一种方法提供具有异构图的随机游走模型，以利用多个源数据并完成预测任务。系统和方法组件包括：1）异构图形公式，包括作为图形节点的抽象对象的异构实例，以及连接这些节点的边缘的多个关系。不同类型的关系，例如客户 - 供应商关系和客户 - 产品关系，通常被量化为连接这些实体的边的权重; 2）通过这种信息完成预测任务，在异构图上启动多阶段随机游走模型。具有同质节点的子图中的随机游走通常产生相同类型的实体之间的相关性。通过不同类型的节点的随机游走提供了诸如客户购买产品的决策的预测。

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